Summary statistics for circular data: Summary statistics for circular data
Description
It produces a few summary measures for circular data.
Usage
circ.summary(u, rads = FALSE, fast = FALSE, tol = 1e-07, plot = FALSE)
Value
If fast = FALSE a list including all the following. If fast = TRUE less items are returned.
mesos
The circular mean direction.
confint
The 95% confidence interval for the circular mean direction.
kappa
The concentration parameter.
MRL
The mean resultant length.
circvariance
The circular variance.
circstd
The circular standard deviation.
loglik
The log-likelihood of the fitted von Mises distribution.
Arguments
u
A vector with circular data.
rads
If the data are in rads, then this should be TRUE, otherwise FALSE.
fast
A boolean variable to do a faster implementation.
tol
The tolerance level to stop the Newton-Raphson algorithm for finding kappa.
plot
If you want to see the data plotted on a cicrle make this TRUE.
Author
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>.
Details
It returns the circular mean, mean resultant length, variance, standard deviation and concentration parameter. So, basically it returns the estimated values of the parameters of the von Mises distribution.
References
Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.